Business intelligence (BI) & Analytics

Business intelligence (BI) has been referred to as the process of making better decisions through the use of people, processes, data and related tools and methodologies. The roots of business intelligence are found in relational databases, data warehouses and data marts that help organize historical information in the hands of business analysts to generate reporting that informs executives and senior departmental managers of strategic and tactical trends and opportunities. In recent years, business intelligence has also come to rely on near real-time operational data found in systems including enterprise resource planning (ERP), customer relationship management (CRM), supply chain, marketing and other databases. “Operational” BI is meant to provision many more functions in the organization with role-specific dashboards and scorecards and is increasingly tied to the topics of performance management and business process management. Inherent to any form of BI is the notion of data quality, consistent and dependable data and the processes involved in its creation and maintenance.


Business intelligence (BI) has been a top priority for CIOs for the last two years, according to recent surveys by research firm Gartner and CIO magazines. Both surveys show that BI will remain top of mind through 2010 and into the near future. In fact, CIO magazine's Technology Priorities Survey, published in January, showed that survey respondents were actively researching BI more than any other enterprise technology.
The interest in BI is no surprise. After all, it is a way for organizations to use real, raw data generated from within the company and externally by customers, suppliers, and partners to make better business decisions. Most recently, CIOs have focused on BI as a way to help weather -- and thrive in -- the economic downturn.
Analysis
According to the 2010 Magic Quadrant for Business Intelligent Platforms, Gartner expects the market for BI platforms to stay among the fastest growing software markets. "In tough economic times, when competitiveness depends on the optimization of strategy and execution, organizations continue to turn to BI as a vital tool for smarter, more agile and efficient business."
Experts, including Gartner, the Data Warehousing Institute, and Forrester Research, agree that BI is ripe for innovation -- and will evolve to deliver even greater business value. The top five trends for 2010 are:

1. Business intelligence goes open source. When open source software is sound and supported by a vibrant community, it can be an excellent low-cost option. Open source BI software has made that leap, becoming a deployment option that appeals to mid-size companies in a variety of industries as well as to public sector organizations. In fact, Gartner predicts that "open source BI tool production deployments will grow five-fold through 2012."
According to Gartner, open source BI doesn't yet have the same level of functionality as commercial offerings and is more likely to be deployed as individual tools, rather than as an enterprise-wide BI standard. Open source BI isn't free -- support costs must always be factored in -- but it can allow an IT department to experiment with the technologies without making a multi-million dollar investment.  

2. Business intelligence moves to the cloud. Not everyone has the development expertise to devote to open source software, yet many companies still want a lower-cost alternative to premises-based BI software. Research by the Data Warehousing Institute, HP, and Forrester show that organizations are increasingly interested in cloud computing for BI. With BI running in the cloud, organizations can pay just for the capacity they need, when they need it. Also, it gives companies access to complex, sophisticated BI technologies without having to pay for in-house BI expertise.
James G. Kobelius, senior analyst at Forrester Research, expects that data warehouses in particular to be deployed in cloud environments in 2010. In January, he told SearchBusinessAnalytics.com, "In 2010, we'll see vendors continue to introduce cloud, SaaS, and virtualized deployments of their core analytic databases. The industry is moving inevitably toward cloud-based services that supplement appliances, licensed software and other deployment options."

3. User interfaces become more graphical and business-user friendly. Traditionally, BI software has generated complex reports that can be difficult to read. Newer BI solutions now offer far more interactive and graphical user interfaces, which feel more like consumer-application UIs. These make BI much easier to use and helps keep the data analysis results accessible to a wide variety of business users.

4. Advanced analytics are more widely deployed. "Advanced analytics is the critical enabler in turning data into insight," reports HP's Top 10 trends in Business Intelligence for 2010 white paper. Forrester's Kobelius believes organizations will use advanced analytics to find ways to reach customers via social networks, saying this year will be "the year social network analysis truly emerges as the new frontier in advanced analytics, supporting mining of behavioral, attitudinal, and other affinities."

5. Pure-play BI vendors get more traction in the market. The enterprise software "megavendors" like Oracle, IBM, and HP aren't the only ones offering viable enterprise BI platforms anymore. Smaller vendors, such as  that focus solely on BI are gaining ground in the BI market. According to Gartner, "There is significant, if not euphoric, satisfaction with, and accelerated interest in, pure-play BI platforms. This is particularly true for smaller, innovative vendors filling needs left unmet by the larger vendors."
Conclusion
These trends promise to make BI even more valuable for help making strategic decisions. Innovations like these five will make the technology easier for everyday business people to use as well as make the data more accessible to everyone who needs it across the organization.



The term analytics refers to the applied use of statistical techniques to gain understanding and value from structured and unstructured information in enterprise, line of business, departmental and third-party databases and repositories. As the research firm Gartner Inc. has described, "Analytics leverage data in a particular functional process (or application) to enable context-specific insight that is actionable."
Analytics measure ratios and percentages, often employing complex mathematical algorithms to understand relationships within and among data sets. Statistical methods can be applied to both historic and near real-time data for separate or combined purposes. Business analysts, Web analysts, marketing managers and other users employ analytics for various business purposes. For example, financial analytics reveal trends and deliver what-if scenarios that affect the planning, budgeting and forecasting process. Customer relationship management (CRM) and marketing analytics employ data mining and predictive methodologies to address customer propensities to buy or churn and create measures of lifetime customer value. Web analytics are used to understand customer behaviors and optimize product and service offerings, marketing and sales campaigns. Still other analytic applications have an ancestry in search engines and address unstructured information through text mining.



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